Pub Date : 2021-11-01DOI: 10.1109/ITSS-IoE53029.2021.9615315
Wafaa Mohammed Ali, Ali Atshan Abdulredah, Ali fattah Dakhil
Combining AI models and IoT devices in the farm and agriculture field would yield the most desired productivity. IoT-enabled cameras significantly help in collecting flowers images in real-time on the farm. To Classify a large dataset of flowers images with multi-species, we need a dedicated and sufficient AI model. The purpose of those captured images is to transfer their features into numerical values like the common IRIS dataset. This research investigates a perfect solution to extract the most relative features from the collected images so that engineers can have IRIS attributes from their original images. Those features represent the IRIS flowers; Sepal width and height, and Petal width and height. The applied methodology is a Conventional Neural Network model with four different architectures; GoogLeNet, VGG-16, AlexNet, and ResNet-50. These models would extract features of the image and then select the most efficient ones. Experiments have proved that SVM has accuracy with 98.89% of classifying the selected features. In the last step, using the comparative technique, nine algorithms were used to classify the IRIS species, which reached 97% of the accuracy.
{"title":"Web-based AI-IoT Multi Classifiers Model of IRIS Images in Real Live Farm Field","authors":"Wafaa Mohammed Ali, Ali Atshan Abdulredah, Ali fattah Dakhil","doi":"10.1109/ITSS-IoE53029.2021.9615315","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615315","url":null,"abstract":"Combining AI models and IoT devices in the farm and agriculture field would yield the most desired productivity. IoT-enabled cameras significantly help in collecting flowers images in real-time on the farm. To Classify a large dataset of flowers images with multi-species, we need a dedicated and sufficient AI model. The purpose of those captured images is to transfer their features into numerical values like the common IRIS dataset. This research investigates a perfect solution to extract the most relative features from the collected images so that engineers can have IRIS attributes from their original images. Those features represent the IRIS flowers; Sepal width and height, and Petal width and height. The applied methodology is a Conventional Neural Network model with four different architectures; GoogLeNet, VGG-16, AlexNet, and ResNet-50. These models would extract features of the image and then select the most efficient ones. Experiments have proved that SVM has accuracy with 98.89% of classifying the selected features. In the last step, using the comparative technique, nine algorithms were used to classify the IRIS species, which reached 97% of the accuracy.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125151067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ITSS-IoE53029.2021.9615298
Mohammed Gamal Al-Shahethi, Amgad Muneer, Ebrahim A. A. Ghaleb, S. Darshi, Akram A. Almohammedi
Manual monitoring is time-consuming and frustrates the industry with high costs and delays in the process. This study presented a remote monitoring system for a direct current (DC) motor based on Internet of Things (IoT) for safe and economic data communication in industrial fields. A single sensor monitors the DC motor speed and sends it to the Raspberry Pi microcontroller, which sends it to the cloud database for remote monitoring. The system also presents the manual control methods to adjust the motor speed using a simple potentiometer. Therefore, the proposed system has three functions: measuring, monitoring, and controlling. Measuring is based on an optoisolator sensor and an Arduino Mega microcontroller. Controlling is based on the Potentiometer, Arduino Uno, and a motor drive circuit. Monitoring is based on Raspberry Pi and ThingSpeak platform. Firstly, the speed sensor HC-020K senses the speed Data. Secondly, Arduino Mega extracts the HC-020K sensor's data as a suitable revolution per minute and sends it to Raspberry Pi. Thirdly, Raspberry Pi sends the data to ThingSpeak's Server. Lastly, based on the experiments performed, the system has proved to be very useful and reliable.
{"title":"Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi","authors":"Mohammed Gamal Al-Shahethi, Amgad Muneer, Ebrahim A. A. Ghaleb, S. Darshi, Akram A. Almohammedi","doi":"10.1109/ITSS-IoE53029.2021.9615298","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615298","url":null,"abstract":"Manual monitoring is time-consuming and frustrates the industry with high costs and delays in the process. This study presented a remote monitoring system for a direct current (DC) motor based on Internet of Things (IoT) for safe and economic data communication in industrial fields. A single sensor monitors the DC motor speed and sends it to the Raspberry Pi microcontroller, which sends it to the cloud database for remote monitoring. The system also presents the manual control methods to adjust the motor speed using a simple potentiometer. Therefore, the proposed system has three functions: measuring, monitoring, and controlling. Measuring is based on an optoisolator sensor and an Arduino Mega microcontroller. Controlling is based on the Potentiometer, Arduino Uno, and a motor drive circuit. Monitoring is based on Raspberry Pi and ThingSpeak platform. Firstly, the speed sensor HC-020K senses the speed Data. Secondly, Arduino Mega extracts the HC-020K sensor's data as a suitable revolution per minute and sends it to Raspberry Pi. Thirdly, Raspberry Pi sends the data to ThingSpeak's Server. Lastly, based on the experiments performed, the system has proved to be very useful and reliable.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130753616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper utilizes an optimum control theory based on LQR to optimize a cooperative control law that ensures the consensus of linear agents’ outputs. In the beginning, we study the consensus problem of higher-order heterogeneous linear networks. Then we will provide an analytic solution for the partial optimization problem of closed-loop cooperative systems consensus. Optimum control of multiagent systems has some complications. Since network dynamic depends on network graph topology and network topology should exist in optimum solution, we utilize the reverse optimization method. The analytic solution outcome demonstrated that the reverse optimization would successfully result in consensus.
{"title":"Reverse Optimizing Consensus of Higher-Order Heterogeneous Linear Multiagent Systems Based on LQR method","authors":"Arian Yousefiankalareh, Ehsan Salajegheh, Farzad Shahabi, Hossein Mirzanejad, Shahab Balali, Shahaboddin Seddighi","doi":"10.1109/ITSS-IoE53029.2021.9615299","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615299","url":null,"abstract":"This paper utilizes an optimum control theory based on LQR to optimize a cooperative control law that ensures the consensus of linear agents’ outputs. In the beginning, we study the consensus problem of higher-order heterogeneous linear networks. Then we will provide an analytic solution for the partial optimization problem of closed-loop cooperative systems consensus. Optimum control of multiagent systems has some complications. Since network dynamic depends on network graph topology and network topology should exist in optimum solution, we utilize the reverse optimization method. The analytic solution outcome demonstrated that the reverse optimization would successfully result in consensus.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122612364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ITSS-IoE53029.2021.9615310
Muhammad Mahreza Maulana, Arif Imam Suroso, Yani Nurhadryani, Kudang Boro Seminar
One of smart city’s component is smart governance that includes transparent government, public participation and public services. The integration of public services is called one-stop government. Service integration between local and central government and several services among government institutions are very challenging. Recently exploration on the various components of smart city governance does not have system recognition. The objective of this study is to design the smart governance framework on one-stop-shop service. Smart governance design has been proposed to achieve the objectives of one-stop-shop services. Several IT governance frameworks were used as the best practices to make alignment between government targets and IT solutions. Integration of mainly the common elements of each framework were required. The framework has four smart-governance domains include four EA processes, eleven COBIT5 processes, fifteen ITILv3 processes with three proposed KPI recommendations per domain. Smart-governance begins with the design of Enterprise Architecture. Then targets are set per domain and the processes that support it.
{"title":"Smart Governance Design for One-Stop Government of Licensing Services in Bio-business","authors":"Muhammad Mahreza Maulana, Arif Imam Suroso, Yani Nurhadryani, Kudang Boro Seminar","doi":"10.1109/ITSS-IoE53029.2021.9615310","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615310","url":null,"abstract":"One of smart city’s component is smart governance that includes transparent government, public participation and public services. The integration of public services is called one-stop government. Service integration between local and central government and several services among government institutions are very challenging. Recently exploration on the various components of smart city governance does not have system recognition. The objective of this study is to design the smart governance framework on one-stop-shop service. Smart governance design has been proposed to achieve the objectives of one-stop-shop services. Several IT governance frameworks were used as the best practices to make alignment between government targets and IT solutions. Integration of mainly the common elements of each framework were required. The framework has four smart-governance domains include four EA processes, eleven COBIT5 processes, fifteen ITILv3 processes with three proposed KPI recommendations per domain. Smart-governance begins with the design of Enterprise Architecture. Then targets are set per domain and the processes that support it.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128534819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ITSS-IoE53029.2021.9615303
Nahid Hossain, Adil Ahnaf
The text simplification approach simplifies the linguistic complexity of a particular language so that the grammar and structure of a language are greatly simplified to read and understand while preserving the information and underlying meaning. Despite being spoken globally and having a rich history of Bangla literature, there is no work has been done in the Bangla language on this important topic. The work has been done to increase the number of Bangla literature readers and save Bangla historical writings from becoming extinct. We have also collected and used an extensive corpus consisting of 1,52,230 sentences along with a lexicon consisting of 22,580 complex-simple unique word pairs, which are mapped manually. This paper has presented two text simplification models based on Long Short Term Memory (LSTM) and Bidirectional Encoder Representations from Transformers (BERT). However, the proposed model based on BERT shows a satisfactory accuracy rate of 95.3%.
{"title":"BERT-based Text Simplification Approach to Reduce Linguistic Complexity of Bangla Language","authors":"Nahid Hossain, Adil Ahnaf","doi":"10.1109/ITSS-IoE53029.2021.9615303","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615303","url":null,"abstract":"The text simplification approach simplifies the linguistic complexity of a particular language so that the grammar and structure of a language are greatly simplified to read and understand while preserving the information and underlying meaning. Despite being spoken globally and having a rich history of Bangla literature, there is no work has been done in the Bangla language on this important topic. The work has been done to increase the number of Bangla literature readers and save Bangla historical writings from becoming extinct. We have also collected and used an extensive corpus consisting of 1,52,230 sentences along with a lexicon consisting of 22,580 complex-simple unique word pairs, which are mapped manually. This paper has presented two text simplification models based on Long Short Term Memory (LSTM) and Bidirectional Encoder Representations from Transformers (BERT). However, the proposed model based on BERT shows a satisfactory accuracy rate of 95.3%.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130373044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ITSS-IoE53029.2021.9615288
Belal A. Al-fuhaidi, Wedad Al-Sorori, Naseebah Maqtary, A. Al-Hashedi, Sadik A. M. Al-Taweel
Due to the tremendous development in the field of information and communication technology (ICT) and its continuous connection with the Internet, the data of customers and companies has become under the threat of electronic attacks, so it has become necessary to clarify solutions to ensure the security and safety of data around the world. In the modern era, it has become imperative for countries and large companies to adopt cybersecurity systems in their systems, to ensure the confidentiality and security of data from cyber-attacks. This paper provides an overall review of previous studies on cyber-attacks to discover this concept, its forms as well as the applied mitigation strategies against this attack. The literature review is conducted through a systematic approach from data collection through content analysis and finally, findings reporting.
{"title":"Literature Review on Cyber Attacks Detection and Prevention Schemes","authors":"Belal A. Al-fuhaidi, Wedad Al-Sorori, Naseebah Maqtary, A. Al-Hashedi, Sadik A. M. Al-Taweel","doi":"10.1109/ITSS-IoE53029.2021.9615288","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615288","url":null,"abstract":"Due to the tremendous development in the field of information and communication technology (ICT) and its continuous connection with the Internet, the data of customers and companies has become under the threat of electronic attacks, so it has become necessary to clarify solutions to ensure the security and safety of data around the world. In the modern era, it has become imperative for countries and large companies to adopt cybersecurity systems in their systems, to ensure the confidentiality and security of data from cyber-attacks. This paper provides an overall review of previous studies on cyber-attacks to discover this concept, its forms as well as the applied mitigation strategies against this attack. The literature review is conducted through a systematic approach from data collection through content analysis and finally, findings reporting.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"4 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133076335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The idea of surveillance has always lingered around from community to guards to police to CCTV to Drones. It is just getting upgrade with the time. The recent times with the involvement of artificial intelligence the surveillance and cloud monitoring has changed the way and efficiency. This work involves similar surveillance techniques in which we intend to detect people not wearing a mask. The project was an inspiration for the current pandemic situation and to be ready for the future. The work also includes cloud monitoring and streaming the live footage on the server. A Convolutional Neural Network is developed to predict whether someone is wearing a mask or not. It is deployed on a self-made server and can be monitored remotely. The camera used to capture the video is ESP32. This proposed work has huge implementation around the world given the present situation and has the potential to be used in the future.
{"title":"Cloud Based Surveillance using ESP32 CAM","authors":"Akwinder Kaur, Abhimanyu Jadli, Apratim Sadhu, Satvik Goyal, Abhishek Mehra, Rahul","doi":"10.1109/ITSS-IoE53029.2021.9615334","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615334","url":null,"abstract":"The idea of surveillance has always lingered around from community to guards to police to CCTV to Drones. It is just getting upgrade with the time. The recent times with the involvement of artificial intelligence the surveillance and cloud monitoring has changed the way and efficiency. This work involves similar surveillance techniques in which we intend to detect people not wearing a mask. The project was an inspiration for the current pandemic situation and to be ready for the future. The work also includes cloud monitoring and streaming the live footage on the server. A Convolutional Neural Network is developed to predict whether someone is wearing a mask or not. It is deployed on a self-made server and can be monitored remotely. The camera used to capture the video is ESP32. This proposed work has huge implementation around the world given the present situation and has the potential to be used in the future.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130937749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ITSS-IoE53029.2021.9615276
F. Alqasemi, Salah Al-Hagree, Ibrahim Alnedami, Redwan A. Al-dilami
Nowadays, massive data highlights the significance of exploiting data mining technology for business needs. Data estimation is one of the business important demands, which is one of data mining objectives as well. Hence, data mining has utilized machine learning (ML) and statistical analysis (SA) techniques for developing business intelligence solutions. Time Series (TS) forecasting methods are tested and enhanced. Such enhancement is increasing the power of TS abilities, which is served to respond to business future estimation requirements. In this paper, an investigation for TS methods distinction is implemented. Four TS methods are applied to forecast the next five years of clients’ rates of two Yemeni’s communication companies. The four methods are Movement Average (MA), Weighted Movement Average (WMA), Least Square (LS), and Exponential Smoothing (ES). The estimated data is evaluated by comparing TS series forecasting methods.
{"title":"Time Series Forecasting for Clients Rates in Tele-Communication Data using Statistical Techniques","authors":"F. Alqasemi, Salah Al-Hagree, Ibrahim Alnedami, Redwan A. Al-dilami","doi":"10.1109/ITSS-IoE53029.2021.9615276","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615276","url":null,"abstract":"Nowadays, massive data highlights the significance of exploiting data mining technology for business needs. Data estimation is one of the business important demands, which is one of data mining objectives as well. Hence, data mining has utilized machine learning (ML) and statistical analysis (SA) techniques for developing business intelligence solutions. Time Series (TS) forecasting methods are tested and enhanced. Such enhancement is increasing the power of TS abilities, which is served to respond to business future estimation requirements. In this paper, an investigation for TS methods distinction is implemented. Four TS methods are applied to forecast the next five years of clients’ rates of two Yemeni’s communication companies. The four methods are Movement Average (MA), Weighted Movement Average (WMA), Least Square (LS), and Exponential Smoothing (ES). The estimated data is evaluated by comparing TS series forecasting methods.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124104300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/itss-ioe53029.2021.9615284
{"title":"ITSS-IoE 2021 Cover Page","authors":"","doi":"10.1109/itss-ioe53029.2021.9615284","DOIUrl":"https://doi.org/10.1109/itss-ioe53029.2021.9615284","url":null,"abstract":"","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117004717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-01DOI: 10.1109/ITSS-IoE53029.2021.9615259
Mustafa Sabah Noori, R. Sahbudin, M. Abood, Mustafa Maad Hamdi, Isam Kareem Thajeel
The phenomenon Stimulated Raman Scattering SRS in fiber optical denote as the lights shifting to diverse frequencies due to light's contact with the material of the optical fibers, therefore it is imperative to focus on the attributes of the affected lights in this phenomenon and its impact on the transmission, the comprehensive tool software OptiSystem simulator has been used to create the layout for the propagation in five hundred meters long fiber optical signal generated from six continuous waves laser components with diverse frequencies, the outcomes illustrated the same values in numerical values of gain and after and before propagation with exception appearance of a new pump like parameterized while calculations with parameterized signals are typically faster.
{"title":"Study the effect of the Stimulated Raman Scattering (SRS) in optical fiber-based on OptiSystem","authors":"Mustafa Sabah Noori, R. Sahbudin, M. Abood, Mustafa Maad Hamdi, Isam Kareem Thajeel","doi":"10.1109/ITSS-IoE53029.2021.9615259","DOIUrl":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615259","url":null,"abstract":"The phenomenon Stimulated Raman Scattering SRS in fiber optical denote as the lights shifting to diverse frequencies due to light's contact with the material of the optical fibers, therefore it is imperative to focus on the attributes of the affected lights in this phenomenon and its impact on the transmission, the comprehensive tool software OptiSystem simulator has been used to create the layout for the propagation in five hundred meters long fiber optical signal generated from six continuous waves laser components with diverse frequencies, the outcomes illustrated the same values in numerical values of gain and after and before propagation with exception appearance of a new pump like parameterized while calculations with parameterized signals are typically faster.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128500572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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